Chef Vision AI · Dodo Pizza Vietnam
In production
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Chef Vision AI
By Chef Vision AIWe use AI to analyze how staff talk to customers in physical stores. This helps F&B and retail businesses spot service issues, track upselling, and improve how their teams perform on the ground. It’s like having eyes and ears across every location.
- Stage
- In production
- Industries
- Retail and e-commerce
- Consumer goods
- Deployment
- Cloud (SaaS)
Why it is worth it
Chef Vision AI captures and analyzes in-person customer interactions using generative AI deployed at the edge. Our solution delivers real-time insights on upselling performance, service quality, and compliance, all without installing complex hardware or integrating with internal systems. It’s lightweight, privacy-safe, and proven to boost conversion and training outcomes in high-traffic environments like quick-service restaurants.
Most enterprises have little visibility into how staff actually talk to customers in-store. Traditional methods like mystery shopping don’t scale, and complaints usually surface too late. We use AI to analyze in-person conversations, helping businesses spot missed upselling, poor service, and script violations. This gives them the insight they need to improve frontline performance and deliver a more consistent customer experience.
Opening the deck…
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Best customer profile
Our ideal customers are mid-to-large F&B and retail chains with 10+ physical locations and high-volume customer interactions. They care about improving service consistency, increasing upsell performance, and getting visibility into how staff engage with customers on the ground. Use cases include staff coaching, script compliance, and identifying service gaps across stores. Chains in fast food, pharmacies, fresh food retail, and financial service branches are especially well-aligned.
Notable paying customers
- Begemot Sixbox Dodo Pizza
Key milestones
Secured pre-seed funding from Antler Built and launched MVP that analyzes in-person conversations using AI Signed paying enterprise customers in Kyrgyzstan across F&B and retail Completed PoCs analyzing thousands of minutes of staff-customer interactions Trained a computer vision model to monitor staff activity and hygiene as part of an earlier product direction before pivoting to audio analytics Assembled a founding team with strong expertise in AI, product development, and operations
Customer case
One customer deployment, shown below.